2022
DOI: 10.2147/clep.s389853
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Global Patterns and Trends in Total Burden of Hepatitis B from 1990 to 2019 and Predictions to 2030

Abstract: Background and Aims Despite widespread vaccination against hepatitis B and availability of antiviral drugs, hepatitis B remained a major global public health problem. Therefore, an improved understanding of the burden of hepatitis B was required to help design strategies for global intervention. Methods Data on hepatitis B was collected by the Global Burden of Disease (GBD) 2019 database from 1990 to 2019. Age-standardized incidence rates (ASIR), mortality rates (ASMR) … Show more

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Cited by 14 publications
(14 citation statements)
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“…A declining incidence trend of HB is noticeable in other European countries and globally [ 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 ]. Similarly, a declining incidence rate of acute HB in Vojvodina was observed between 1978 and 2016 in APV.…”
Section: Discussionmentioning
confidence: 99%
“…A declining incidence trend of HB is noticeable in other European countries and globally [ 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 ]. Similarly, a declining incidence rate of acute HB in Vojvodina was observed between 1978 and 2016 in APV.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, we calculated the estimated annual percentage change (EAPC) of ASIR, ASDR, and ASMR, which is a method using a regression model to describe ASR, and it quantitatively calculates the average annual rate of change of ASR over a specific time interval. Meanwhile, we explored the correlation (Pearson correlation coefficient) 10 between EAPC and ASIR, ASDR, and ASMR. A linear regression was used to estimate the natural logarithm of the rates; the equation 11 is Y = α + β X + ε , where Y = ln (ASR) and X = calendar year.…”
Section: Methodsmentioning
confidence: 99%
“…The limitations of this study should be acknowledged before interpreting the results. First, the data used in our study came from acute hepatitis B data in the GBD 2019 study, which had varying sources and potential compatibility issues that may lead to bias [ 14 , 25 ]. Second, the age–period–cohort analysis using the IE method is classified as an ecological study, limiting our ability to draw causal inferences.…”
Section: Limitationsmentioning
confidence: 99%
“…Current research on AHBV infections in China has primarily employed classical time-series models [ 13 , 14 ], and a limited number of studies have explored joinpoint regression models [ 15 ] and age–period–cohort models [ 16 ]. However, these studies often lack detailed segmentation across specific age groups and do not fully explore the policy implications of AHBV infection trends.…”
Section: Introductionmentioning
confidence: 99%